Diving48. We compare the performance of Diving48 dataset on Tab. REF . We use 16 frames to train the gsf model with InceptionV3 backbone and inference is performed following the accuracy protocol. All training settings are the same as mentioned in Sec. REF  except for the batch size. For Diving48, we used a smaller batch size of 8 during training. From the table, one can see that gsf model outperforms approaches that uses 3D cnn backbones such as I3D [1]}, SlowFast [2]} and GST [3]} by a significant margin.
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